metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - hate_speech18
metrics:
  - accuracy
model-index:
  - name: deberta-v3-small-hate-speech
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: hate_speech18
          type: hate_speech18
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.916058394160584

DeBERTa v3 small fine-tuned on hate_speech18 dataset for Hate Speech Detection

This model is a fine-tuned version of microsoft/deberta-v3-small on the hate_speech18 dataset. It achieves the following results on the evaluation set:

Loss: 0.2922
Accuracy: 0.9161

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4147	1.0	650	0.3910	0.8832
0.2975	2.0	1300	0.2922	0.9161
0.2575	3.0	1950	0.3555	0.9051
0.1553	4.0	2600	0.4263	0.9124
0.1267	5.0	3250	0.4238	0.9161

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3